ML Systems Engineer Intern (PhD) - Scalable ML & AI Systems

Meta; Redmond (WA); On-site; USD 82,000 - 141,000; Full time

Job summary

Meta is seeking a Software Engineer Intern, Machine Learning (PhD) in Redmond, WA. You will help build scalable ML systems, develop classifiers, and collaborate with a broad engineering team on features and data pipelines for Meta products.

The internship lasts at least 12 weeks starting in 2026, with opportunities to contribute to distributed computing and AI research initiatives. Strong ML background and programming skills required.

Qualifications

• PhD in Computer Science or related field.
• Research and/or work experience in ML, DL, RL, NLP, recommender systems, or CV.
• Experience in systems software or algorithms.
• Experience coding in Java, C/C++, Perl, PHP, or Python.
• Interpersonal experience: cross-group collaboration.
• Must obtain work authorization in country of employment.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
• Suggest, collect and synthesize requirements and create effective feature roadmap.
• Code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel environments (distributed clusters, multicore SMP, and GPU).
• Perform specific responsibilities which vary by team.

Job description

Meta is seeking a Software Engineer Intern, Machine Learning (PhD) in Redmond, WA. You will help build scalable ML systems, develop classifiers, and collaborate with a broad engineering team on features and data pipelines for Meta products.

The internship lasts at least 12 weeks starting in 2026, with opportunities to contribute to distributed computing and AI research initiatives. Strong ML background and programming skills required.